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海洋环境富营养化过程中生物特征的功能预测

Functional Prediction of Biological Profile During Eutrophication in Marine Environment.

作者信息

Sbaoui Yousra, Nouadi Badreddine, Ezaouine Abdelkarim, Rida Salam Mohamed, Elmessal Mariame, Bennis Faiza, Chegdani Fatima

机构信息

Immunology and Biodiversity Laboratory, Faculty of Sciences Aïn Chock, Hassan II University of Casablanca, Casablanca, Morocco.

出版信息

Bioinform Biol Insights. 2022 Jan 5;16:11779322211063993. doi: 10.1177/11779322211063993. eCollection 2022.

DOI:10.1177/11779322211063993
PMID:35023908
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8744080/
Abstract

In the marine environment, coastal nutrient pollution and algal blooms are increasing in many coral reefs and surface waters around the world, leading to higher concentrations of dissolved organic carbon (DOC), nitrogen (N), phosphate (P), and sulfur (S) compounds. The adaptation of the marine microbiota to this stress involves evolutionary processes through mutations that can provide selective phenotypes. The aim of this in silico analysis is to elucidate the potential candidate hub proteins, biological processes, and key metabolic pathways involved in the pathogenicity of bacterioplankton during excess of nutrients. The analysis was carried out on the model organism , by adopting an analysis pipeline consisting of a set of packages from the Cystoscape platform. The results obtained show that the metabolism of carbon and sugars generally are the 2 driving mechanisms for the expression of virulence factors.

摘要

在海洋环境中,全球许多珊瑚礁和地表水的沿海营养污染及藻华现象不断增加,导致溶解有机碳(DOC)、氮(N)、磷酸盐(P)和硫(S)化合物的浓度升高。海洋微生物群对这种压力的适应涉及通过突变产生的进化过程,这些突变可提供选择性表型。这项计算机分析的目的是阐明在营养过剩期间浮游细菌致病性中涉及的潜在候选枢纽蛋白、生物学过程和关键代谢途径。通过采用由Cystoscape平台的一组软件包组成的分析流程,对模式生物进行了分析。所得结果表明,碳和糖的代谢通常是毒力因子表达的两种驱动机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4c3/8744080/4bbb072b07d9/10.1177_11779322211063993-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4c3/8744080/34ca68857d14/10.1177_11779322211063993-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4c3/8744080/2f41bc140fcc/10.1177_11779322211063993-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4c3/8744080/6dae41aace3a/10.1177_11779322211063993-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4c3/8744080/0b58ac7b9e5b/10.1177_11779322211063993-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4c3/8744080/4bbb072b07d9/10.1177_11779322211063993-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4c3/8744080/34ca68857d14/10.1177_11779322211063993-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4c3/8744080/2f41bc140fcc/10.1177_11779322211063993-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4c3/8744080/6dae41aace3a/10.1177_11779322211063993-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4c3/8744080/0b58ac7b9e5b/10.1177_11779322211063993-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4c3/8744080/4bbb072b07d9/10.1177_11779322211063993-fig5.jpg

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